Guangjun Wu, Zhihui Zhao, Ge Fu, Haiping Wang, Yong Wang, Zhenyu Wang, Junteng Hou, Liang Huang. A Fast kNN-Based Approach for Time Sensitive Anomaly Detection over Data Streams. In João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio M. Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part II. Volume 11537 of Lecture Notes in Computer Science, pages 59-74, Springer, 2019. [doi]
@inproceedings{WuZFWWWHH19,
title = {A Fast kNN-Based Approach for Time Sensitive Anomaly Detection over Data Streams},
author = {Guangjun Wu and Zhihui Zhao and Ge Fu and Haiping Wang and Yong Wang and Zhenyu Wang and Junteng Hou and Liang Huang},
year = {2019},
doi = {10.1007/978-3-030-22741-8_5},
url = {https://doi.org/10.1007/978-3-030-22741-8_5},
researchr = {https://researchr.org/publication/WuZFWWWHH19},
cites = {0},
citedby = {0},
pages = {59-74},
booktitle = {Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part II},
editor = {João M. F. Rodrigues and Pedro J. S. Cardoso and Jânio M. Monteiro and Roberto Lam and Valeria V. Krzhizhanovskaya and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot},
volume = {11537},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-22741-8},
}